Technical improvements in clinical radiotherapy for maximizing cytotoxicity to the tumor while limiting negative impact on co-irradiated healthy tissues include the increasing use of particle therapy (e.g., proton therapy) worldwide. Yet potential differences in the biology of DNA damage induction and repair between irradiation with X-ray photons and protons remain elusive. We compared the differences in DNA double strand break (DSB) repair and survival of cells compromised in non-homologous end joining (NHEJ), homologous recombination repair (HRR) or both, after irradiation with an equal dose of X-ray photons, entrance plateau (EP) protons, and mid spread-out Bragg peak (SOBP) protons. We used super-resolution microscopy to investigate potential differences in spatial distribution of DNA damage foci upon irradiation. While DNA damage foci were equally distributed throughout the nucleus after X-ray photon irradiation, we observed more clustered DNA damage foci upon proton irradiation. Furthermore, deficiency in essential NHEJ proteins delayed DNA repair kinetics and sensitized cells to both, X-ray photon and proton irradiation, whereas deficiency in HRR proteins sensitized cells only to proton irradiation. We assume that NHEJ is indispensable for processing DNA DSB independent of the irradiation source, whereas the importance of HRR rises with increasing energy of applied irradiation.

High grade serous ovarian cancer (HGSOC) is among the most deadly malignancies in women, frequently involving peritoneal tumor spread. Understanding molecular mechanisms of peritoneal metastasis is essential to develop urgently needed targeted therapies. We described two peritoneal tumor spread types in HGSOC apparent during surgery: miliary (numerous millet-sized implants) and non-miliary (few big, bulky implants). The former one is defined by a more epithelial-like tumor cell characteristic with less immune cell reactivity and with significant worse prognosis, even if corrected for typical clinicopathologic factors.23 HGSOC patients were enrolled in this study. Isolated tumor cells from fresh tumor tissues of ovarian and peritoneal origin and from ascites were used for ribosomal RNA depleted RNA and small RNA sequencing. RT-qPCR was used to validate results and an independent cohort of 32 patients to validate the impact on survival. Large and small RNA sequencing data were integrated and a new gene-miRNA set analysis method was developed.Thousands of new small RNAs (miRNAs and piwi-interacting RNAs) were predicted and a 13 small RNA signature was developed to predict spread type from formalin-fixed paraffin-embedded tissues. Furthermore, integrative analyses of RNA sequencing and small RNA sequencing data revealed a global upregulation of the competing endogenous RNA network in tumor tissues of non-miliary compared to miliary spread, i.e. higher expression of circular RNAs and long non-coding RNAs compared to coding RNAs but unchanged abundance of small RNAs. This global deregulated expression pattern could be co-responsible for the spread characteristic, miliary or non-miliary, in ovarian cancer.

Purpose: A relative biological effectiveness (RBE) of 1.1 is commonly used in clinical proton therapy, irrespective of tissue type and depth. This in vitro study was conducted to quantify the RBE of scanned protons as a function of the dose-averaged linear energy transfer (LET d) and the sensitivity factor (a/ß) X. Additionally, three phenomenological models (McNamara, Rørvik, and Jones) and one mechanistic model (repair-misrepair-fixation, RMF) were applied to the experimentally derived data. Methods: Four human cell lines (FaDu, HaCat, Du145, SKMel) with differential (a/ß) X ratios were irradiated in a custom-designed irradiation setup with doses between 0 and 6 Gy at proximal, central, and distal positions of a 80 mm spread-out Bragg peak (SOBP) centered at 80 mm (setup A: proton energies 66.5-135.6 MeV) and 155 mm (setup B: proton energies 127.2-185.9 MeV) depth, respectively. LET d values at the respective cell positions were derived from Monte Carlo simulations performed with the treatment planning system (TPS, RayStation). Dosimetric measurements were conducted to verify dose homogeneity and dose delivery accuracy. RBE values were derived for doses that resulted in 90 % (RBE 90) and 10 % (RBE 10) of cell survival, and survival after a 0.5 Gy dose (RBE 0.5Gy), 2 Gy dose (RBE 2Gy), and 6 Gy dose (RBE 6Gy). Results: LET d values at sample positions were 1.9, 2.1, 2.5, 2.8, 4.1, and 4.5 keV/µm. For the cell lines with high (a/ß) X ratios (FaDu, HaCat), the LET d did not impact on the RBE. For low (a/ß) X cell lines (Du145, SKMel), LQ-derived survival curves indicated a clear correlation of LET d and RBE. RBE 90 values up to 2.9 and RBE 10 values between 1.4 and 1.8 were obtained. Model-derived RBE predictions slightly overestimated the RBE for the high (a/ß) X cell lines, although all models except the Jones model provided RBE values within the experimental uncertainty. For low (a/ß) X cell lines, no agreement was found between experiments and model predictions, that is, all models underestimated the measured RBE. Conclusions: The sensitivity parameter (a/ß) X was observed to be a major influencing factor for the RBE of protons and its sensitivity toward LET d changes. RBE prediction models are applicable for high (a/ß) X cell lines but do not estimate RBE values with sufficient accuracy in low (a/ß) X cell lines.

A growing number of diseases are being linked to protein misfolding and amyloid formation. Recently, p53 was also shown to associate into amyloid aggregates, raising the question of whether cancer development is associated with protein aggregation as well. However, a lack of suitable tools has hampered the evaluation of their clinical relevance. Herein, we report an enzyme-linked-immunosorbent-assay (ELISA) system based on a polyionic, high-molecular-weight ligand that specifically captures aggregated oligomers and amyloid proteins. We proved that naturally occurring tetramers of p53 are not bound, but high-molecular-weight aggregates are bound and subsequently detected. For the first time, this assay allows the quantitative detection of p53 aggregates from cell lysates, which was demonstrated using 22 ovarian-cancer cell lines as well as 7 patient-derived tumor tissues. The levels of p53 aggregates within the missense-mutated tissue samples varied more than 12-fold. This simple, robust method allows studying the abundance and clinical relevance of protein aggregates. This could help our understanding of the role of protein misfolding in cancer or even in predicting therapy responses to aggregation-targeting drugs.